İlker Ercanlı

515 total citations
37 papers, 372 citations indexed

About

İlker Ercanlı is a scholar working on Nature and Landscape Conservation, Environmental Engineering and Ecology. According to data from OpenAlex, İlker Ercanlı has authored 37 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Nature and Landscape Conservation, 23 papers in Environmental Engineering and 11 papers in Ecology. Recurrent topics in İlker Ercanlı's work include Forest ecology and management (32 papers), Remote Sensing and LiDAR Applications (23 papers) and Tree Root and Stability Studies (10 papers). İlker Ercanlı is often cited by papers focused on Forest ecology and management (32 papers), Remote Sensing and LiDAR Applications (23 papers) and Tree Root and Stability Studies (10 papers). İlker Ercanlı collaborates with scholars based in Türkiye, Malawi and Pakistan. İlker Ercanlı's co-authors include Alkan Günlü, Muammer Şenyurt, Sedat Keleş, Emin Zeki Başkent, Sabit Erşahin, Ali İhsan Kadıoğulları, Fatih Sivrikaya, M. Çakır and Emin Yılmaz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Canadian Journal of Forest Research.

In The Last Decade

İlker Ercanlı

35 papers receiving 350 citations

Peers

İlker Ercanlı

NLC

GPC

ECOLO

Alkan Günlü Türkiye

Francisco Rodríguez Spain

Wilson Ancelm Mugasha Tanzania

Luís Fontes Portugal

Daniel J. Leduc United States

Stein Michael Tomter Switzerland

Sanna Härkönen Finland

Emanuel Arnoni Costa Brazil

Alicia Peduzzi United States

Roseana Pereira da Silva Brazil

Alkan Günlü Türkiye

İlker Ercanlı

188 ×0.7

NLC

219 ×0.9

181 ×1.3

GPC

194 ×1.5

ECOLO

35 ×0.5

Citations per year, relative to İlker Ercanlı İlker Ercanlı (= 1×) peers Alkan Günlü

Countries citing papers authored by İlker Ercanlı

Since Specialization

Citations

This map shows the geographic impact of İlker Ercanlı's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by İlker Ercanlı with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites İlker Ercanlı more than expected).

Fields of papers citing papers by İlker Ercanlı

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by İlker Ercanlı. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by İlker Ercanlı. The network helps show where İlker Ercanlı may publish in the future.

Co-authorship network of co-authors of İlker Ercanlı

This figure shows the co-authorship network connecting the top 25 collaborators of İlker Ercanlı. A scholar is included among the top collaborators of İlker Ercanlı based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with İlker Ercanlı. İlker Ercanlı is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ercanlı, İlker. (2024). Deep learning algorithms for addressing overfitting and biological realism in tree taper and volume predictions. Canadian Journal of Forest Research. 54(12). 1500–1518. 2 indexed citations

Ercanlı, İlker, et al.. (2023). A comparison of artificial neural networks and regression modeling techniques for predicting dominant heights of Oriental spruce in a mixed stand. Forest Systems. 32(1). e004–e004. 3 indexed citations

Ercanlı, İlker, et al.. (2023). Yield of forests in Ankara Regional Directory of Forestry in Turkey: comparison of regression and artificial neural network models based on statistical and biological behaviors. iForest - Biogeosciences and Forestry. 16(1). 30–37. 9 indexed citations

Ercanlı, İlker, et al.. (2023). ÇAKÜ Araştırma Ormanı Karaçam meşcereleri için tek ve çift girişli toprak üstü ağaç biyokütle denklemlerinin geliştirilmesi. DergiPark (Istanbul University). 9(2). 126–134. 1 indexed citations

Şenyurt, Muammer, et al.. (2020). Artificial neural network models for predicting relationships between diameter at breast height and stump diameter: Crimean pine stands at ÇAKÜ Forest. Bosque (Valdivia). 41(1). 25–34. 5 indexed citations

Ercanlı, İlker. (2020). Artificial intelligence with deep learning algorithms to model relationships between total tree height and diameter at breast height. Forest Systems. 29(2). e013–e013. 10 indexed citations

Günlü, Alkan, et al.. (2019). Evaluating different spatial interpolation methods and modeling techniques for estimating spatial forest site index in pure beech forests: a case study from Turkey. Environmental Monitoring and Assessment. 192(1). 53–53. 7 indexed citations

Ercanlı, İlker, et al.. (2018). Ormanların Çap Dağılımlarının Modellenmesinde Derin Öğrenme Algoritmalarının Kullanımı: Trabzon ve Giresun Ormanları Doğu Ladini-Sarıçam Karışık Meşcereleri Örneği. DergiPark (Istanbul University). 4(2). 122–132. 1 indexed citations

Günlü, Alkan, Sedat Keleş, İlker Ercanlı, & Muammer Şenyurt. (2017). Estimation of leaf area index using WorldView-2 and Aster satellite image: a case study from Turkey. Environmental Monitoring and Assessment. 189(11). 538–538. 10 indexed citations

10.

Ercanlı, İlker, et al.. (2017). Bursa-Kestel Ormanlarında Çap Dağılımlarının Weibull Fonksiyonu ile Modellenmesi. Kastamonu University Journal of Forestry Faculty. 107–107. 6 indexed citations

11.

Ercanlı, İlker, et al.. (2015). The evaluation of different forest structural indices to predict the stand aboveground biomass of even-aged Scotch pine (Pinus sylvestris L.) forests in Kunduz, Northern Turkey. Environmental Monitoring and Assessment. 187(3). 90–90. 7 indexed citations

12.

Ercanlı, İlker. (2015). Modelos no lineales de efectos mixtos para predecir relaciones entre altura total y diámetro de árboles de haya oriental en Kestel, Turquía. SHILAP Revista de lepidopterología. 21(2). 185–202. 11 indexed citations

13.

Ercanlı, İlker, et al.. (2014). Estimating aboveground biomass using Landsat TM imagery: A case study of Anatolian Crimean pine forests in Turkey. Annals of Forest Research. 57(2). 289–298. 48 indexed citations

14.

Ercanlı, İlker, et al.. (2014). Çankırı yöresi sarıçam meşcereleri için dinamik bonitet endeks modellerinin otoregresif modelleme ile geliştirilmesi. Turkish Journal of Forestry | Türkiye Ormancılık Dergisi. 15(1). 53–53. 1 indexed citations

15.

Günlü, Alkan, et al.. (2014). Prediction of Some Stand Parameters using Pan-Sharpened IKONOS Satellite Image. European Journal of Remote Sensing. 47(1). 329–342. 11 indexed citations

16.

Ercanlı, İlker, et al.. (2013). IMPACTS OF FOREST HARVESTING OPERATIONS ON SOIL COMPACTION IN SCOTCH PINE-FIR MIXED STANDS (ÇANKIRI SAMPLE). SHILAP Revista de lepidopterología. 1 indexed citations

17.

Günlü, Alkan, et al.. (2012). Modeling Stand Volume using Landsat TM data for Fir stands (Abies bornmuelleriana Matth.) Located in Buyukduz Planning Unit, TURKEY. 12(3). 65–71. 2 indexed citations

18.

Ercanlı, İlker, et al.. (2008). Sinop Yöresi Sahilçamı (Pinus pinaster Ait.) Ağaçlandırmalarına İlişkin Tek ve Çift Girişli Ağaç Hacim Tablolarının Düzenlenmesi. DergiPark (Istanbul University). 8(1). 14–25. 1 indexed citations

19.

Yılmaz, Emin, et al.. (2007). Murat Dağı (Uşak) Yöresinde Yayılış Gösteren Ağaç Türlerinin (Kızılçam, Karaçam ve Sarıçam) Verimliliğini Etkileyen Kimi Ekolojik Etmenlerin Araştırılması. DergiPark (Istanbul University). 3 indexed citations

20.

Ercanlı, İlker, Fatih Sivrikaya, Sedat Keleş, & Alkan Günlü. (2007). Sarıçam (Pinus sylvestris L.) Meşcerelerinin Hacim Artımının Meşcere Yaşı, Bonitet Endeksi ve Sıklık Derecesine Göre Değişimi. DergiPark (Istanbul University). 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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